Lead Google AI CES Engineer - Remote - Contract

The Essentials: • 100% remote • 6-7 month contract • Market rate • Needed ASAP Summary: We’re looking for a Lead Google CES Engineer to guide the creation and rollout of cutting-edge conversational AI solutions. In this role, you’ll take ownership of designing and delivering advanced applications built on Google’s Customer Engagement Suite, including Gemini, Agent Assist, and Conversational Agents. You’ll work closely with product, engineering, and operations teams to understand business needs and translate them into scalable AI capabilities for contact center environments. This includes integrating Google AI technologies with major CX and CRM platforms such as Genesys, Verint, Salesforce, and SAP. We’re looking for someone who combines deep technical experience with strong strategic thinking. Key responsibilities: • Driving the end-to-end architecture, development, and deployment of conversational AI systems. • Building configurable tools and AI-powered workflows using Gemini to support case-handling and agent enablement. • Creating intelligent agent- and customer-facing experiences using Google Agent Assist and Conversational Agent solutions. • Customizing and tuning Google CCAI components to suit specific use cases and industry contexts. • Managing knowledge bases, Smart Reply models, and allowlists within Agent Assist. • Ensuring high performance, reliability, and security across custom Google AI implementations. • Troubleshooting issues and optimizing systems using insights from analytics and performance metrics. • Staying ahead of emerging AI and conversational technologies to continuously evolve the platform. Ideal candidates will have: • Background as a technical lead or engineer working on conversational AI or related technologies. • Strong coding experience in Python, Java, or JavaScript. • Solid understanding of NLP, machine learning, and modern deep learning approaches. • Hands-on experience with conversational platforms such as Dialogflow, RASA, or Microsoft Bot Framework, plus familiarity with Google CCAI and Gemini. • Comfort working with cloud environments (GCP preferred; AWS/Azure a plus). • Experience connecting chat/voice interfaces to backend services through APIs. • Understanding of CX KPIs (CSAT, NPS, FCR, AHT) and how AI can influence them. • Ability to design Google Cloud architectures that incorporate Gemini alongside microservices, messaging, and storage layers. • Knowledge of speech/text analytics, intent modeling, sentiment/topic analysis, and model observability. • Experience crafting prompts and parameters for large language models, particularly multimodal systems like Gemini. • Familiarity with building custom interfaces for agent- or customer-facing applications when native integrations don’t cover all needs.